Cited by 3,201Forecasting Techniques and ApplicationsGrey System Theory ApplicationsStatistical and numerical algorithms

The Combination of Forecasts

Bates, J. M., Granger, C. W. J.·1969·Journal of the Operational Research Society

Abstract

Two separate sets of forecasts of airline passenger data have been combined to form a composite set of forecasts. The main conclusion is that the composite set of forecasts can yield lower mean-square error than either of the original forecasts. Past errors of each of the original forecasts are used to determine the weights to attach to these two original forecasts in forming the combined forecasts, and different methods of deriving these weights are examined.

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Registry

Crossref · 10.1057/jors.1969.103

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7 of 7 references verified0 citation errors · 0 not checkable

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Authors
Bates, J. M., & Granger, C. W. J.
Affiliations
University of Nottingham (GB)
Venue
Journal of the Operational Research Society
Published
1969-12
Volume
20
Issue
4
Pages
451-468
ISSN
  • 0160-5682 (ISSN-L)
  • 1476-9360
OpenAlex
W1986528915
Cited by
3,201
References
7
Citations by year
2026: 148 · 2025: 107 · 2024: 127 · 2023: 169 · 2022: 159 · 2021: 151 · 2020: 167 · 2019: 177 · 2018: 132 · 2017: 115 · 2016: 141 · 2015: 161 · 2014: 119 · 2013: 134 · 2012: 131
FWCI
0.85
Type
journal article
Language
en
Open access
closed
Locations
Journal of the Operational Research Society (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Grey System Theory Applications
  • Physical Sciences › Mathematics › Applied Mathematics › Statistical and numerical algorithms
Keywords
forecast combination, forecast weights, mean squared error, forecast error, forecast accuracy

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